Répertoire du corps professoral

Développement de nouvelles technologies permettant de réduire les coûts associés au suivi des teneurs en carbone du sol à l'échelle de la ferme
Programme: Subvention Alliance - Avantage
Organisme(s) subventionnaire(s): Logiag inc., Conseil de recherches en sciences naturelles et génie Canada
Type de financement: Subvention
Établissement tête: Université Laval
Du 15 août 2024 au 14 août 2027

État de santé du sol compacté et son effet sur le microbiome du sol, les émissions de gaz à effet de serre et stockage de carbone du sol
Programme: Programme de recherche en partenariat – Agriculture durable
Organisme(s) subventionnaire(s): Fonds de recherche du Québec - Nature et technologies
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 avril 2023 au 31 mars 2026

Étude de la matière organique du sol et de ses composantes dans des agrosystèmes conventionnels et biologiques en grandes cultures afin de mieux comprendre son évolution selon les rotations et les pratiques agricoles
Programme: Programme de recherche en partenariat – Agriculture durable
Organisme(s) subventionnaire(s): Fonds de recherche du Québec - Nature et technologies
Type de financement: Subvention
Établissement tête: Université McGill
Du 1 avril 2022 au 31 mars 2026

Financements des 2 dernières années

Next-Gen Soil Carbon Quantification: Integrating Laser-Induced Breakdown Spectroscopy with Advanced Machine Learning
Programme: Accélération-Élévation
Organisme(s) subventionnaire(s): MITACS Inc.
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 mai 2024 au 31 octobre 2024

 Integrated Water Resources Management for sustainable development using artificial intelligence approaches
Programme: Subventions à la découverte SD (individuelles et d'équipe)
Organisme(s) subventionnaire(s): Conseil de recherches en sciences naturelles et génie Canada, Secrétariat Inter-Conseils (Canada) (CRSH, CRSNG, IRSC)
Type de financement: Subvention
Établissement tête: Université Laval
Du 1 avril 2020 au 31 mars 2025

Isa Ebtehaj, Doctorat en sols et environnement

Mohammad Zeynoddin, Doctorat en sols et environnement

Elham Koohikeradeh, Doctorat en sols et environnement

Mathieu Rémy, Doctorat en sols et environnement

Publications des 5 dernières années

NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture Sustainability, 2025/03. Elham Koohikeradeh, Silvio Gumiere, Hossein Bonakdari. DOI 10.3390/su17062399

Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River Hydrology, 2025/02. Mohammad Uzair Anwar Qureshi, Afshin Amiri, isa ebtehaj, Silvio Gumiere, Juraj Cunderlik, Hossein Bonakdari. DOI 10.3390/hydrology12020025

Advanced Efficient Feature Selection Integrating Augmented Extreme Learning Machine and Particle Swarm Optimization for Predicting Nitrogen Use Efficiency and Yield in Corn Agronomy, 2025/01. Josselin Bontemps, isa ebtehaj, Gabriel Deslauriers, Alain N. Rousseau, Hossein Bonakdari, Jacynthe Dessureault-Rompré. DOI 10.3390/agronomy15010244

CNN vs. LSTM: A Comparative Study of Hourly Precipitation Intensity Prediction as a Key Factor in Flood Forecasting Frameworks Atmosphere, 2024/09. isa ebtehaj, Hossein Bonakdari. DOI 10.3390/atmos15091082

Advanced Forecasting of Drought Zones in Canada Using Deep Learning and CMIP6 Projections Climate, 2024/08. Keyvan Soltani, Afshin Amiri, isa ebtehaj, Hanieh Cheshmehghasabani, Sina Fazeli, Silvio Gumiere, Hossein Bonakdari. DOI 10.3390/cli12080119

Advancing Spatial Drought Forecasts by Integrating an Improved Outlier Robust Extreme Learning Machine with Gridded Data: A Case Study of the Lower Mainland Basin, British Columbia, Canada Sustainability, 2024/04. Amir Hossein Salimi, Amir Noori, isa ebtehaj, Tadros Ghobrial, Hossein Bonakdari. DOI 10.3390/su16083461

Effect of Skewness Orientation on Morphological Adjustments in Alluvial Meandering Streams Water, 2024/03. Ryan Good, David Nguyen, Hossein Bonakdari, Andrew Binns, Bahram Gharabaghi. DOI 10.3390/w16060851

Modeling Hydrodynamic Behavior of the Ottawa River: Harnessing the Power of Numerical Simulation and Machine Learning for Enhanced Predictability Hydrology, 2023/08. Jean Cardi, Antony Dussel, Clara Letessier, isa ebtehaj, Silvio Gumiere, Hossein Bonakdari. DOI 10.3390/hydrology10090177

Multi-Tempo Forecasting of Soil Temperature Data; Application over Quebec, Canada Sustainability, 2023/06. Mohammad Zeynoddin, Hossein Bonakdari, Silvio Gumiere, Alain N. Rousseau. DOI 10.3390/su15129567

Forecasting Pesticide Use on Golf Courses by Integration of Deep Learning and Decision Tree Techniques Agriculture, 2023/05. Guillaume Grégoire, Josée Fortin, isa ebtehaj, Hossein Bonakdari. DOI 10.3390/agriculture13061163

On the Prediction of Evaporation in Arid Climate Using Machine Learning Model Mathematical and Computational Applications, 2022/04. Mansura Jasmine, Abdolmajid Mohammadian, Hossein Bonakdari. DOI 10.3390/mca27020032

Machine Learning Models for Predicting Water Quality of Treated Fruit and Vegetable Wastewater Water, 2021/09. Gurvinder Mundi, Richard G. Zytner, Keith Warriner, Hossein Bonakdari, Bahram Gharabaghi. DOI 10.3390/w13182485

Uncertainty Assessment of Entropy-Based Circular Channel Shear Stress Prediction Models Using a Novel Method Geosciences, 2021/07. Amin Kazemian-Kale-Kale, Azadeh Gholami, mohammad rezaie balf, mohammad rezaie balf, Ahmed A. Sattar, Amir H. Azimi, Bahram Gharabaghi, Hossein Bonakdari. DOI 10.3390/geosciences11080308

Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning Sustainability, 2021/07. isa ebtehaj, Keyvan Soltani, Afshin Amiri, Marzban Faramarzi, Chandra A. Madramootoo, Hossein Bonakdari. DOI 10.3390/su13148009

Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method Sustainability, 2020/02. Amir Hossein Salimi, Amir Noori, Hossein Bonakdari, Jafar Masoompour Samakosh, Ehsan Sharifi, Mohammadreza Hassanvand, Bahram Gharabaghi, Mehdi Agharazi. DOI 10.3390/su12031232

A Non-Tuned Machine Learning Technique for Abutment Scour Depth in Clear Water Condition Water, 2020/01. Hossein Bonakdari, Fatemeh Moradi, isa ebtehaj, Bahram Gharabaghi, Ahmed A. Sattar, Amir Hossein Azimi, Artur Radecki-Pawlik. DOI 10.3390/w12010301